PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-29 10:23:45.535747+00:00 (UTC)
In US/Central Time, this is 2024-08-29 05:23:45.535747-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/c927be4ae781351fd335dcae4c6fbb374ae456677342d6cca97c2e0a7037eac6.png
We are just generating a random time serie here.
../_images/02eeef0a96c82504e0b5a0adc0b9c9f42d7230b2b6363b6740cbc94888a7db65.png
../_images/106802343b98befd27d4bd61ea51c4c05c70205912b67ffe5773135b4c84ec2d.png